马来西亚与泰国对比

马来西亚与泰国：热带夜

2014 年热带夜：马来西亚为 323 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 36.6 夜，是泰国的 1.13 倍。

在地图上查看其变化

每年夜数 · CMIP6

马来西亚与泰国：热带夜2014 年热带夜：马来西亚为 323 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年马来西亚的数值较高，高出 36.6 夜，是泰国的 1.13 倍。
马来西亚泰国CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，马来西亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马来西亚为 354.8 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份马来西亚泰国
2014323286.4
2013323.9289.1
2012323.3286.6
2011320.9286.4
2010320.9286
2009320.3286.9
2008317.9284.8
2007317.8283.2
2006317.3284.3
2005318.4281.7
2004319.4287.5
2003316279.3
2002316280
2001316.5285.5
2000314.5283.4
1999312.9282.5
1998312.5282.7
1997310.6284.8
1996307.1279.8
1995307.3278.7
1994304.1280.8
1993298.2275.6
1992293.6268.8
1991308.9276.7
1990310.4279.2
1989306.9278.4
1988306.8279.6
1987306277.9
1986305.5277.5
1985301.7276
1984302.1277.9
1983297.2273.9
1982302.6275.7
1981303.7277.8
1980303.3277.9
1979302.4278
1978301276
1977301.3277.3
1976298.9275.6
1975297.7274.4
1974298.1276
1973299.1280.6
1972297273.9
1971298.3273.2
1970296276
1969297.4274.8
1968295.2277
1967293.1270.3
1966296.2274.4
1965293.1275.8
1964291.3271.9
1963291.6274.7
1962299.1275.4
1961299.5278.5
1960300.1276.2
1959299.9274.4
1958301.7278.7
1957299277.4
1956298.1277
1955299.3274.6
1954296.8275
1953298.8275.4
1952299.4275.1
1951299.1277.5
1950300276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马来西亚泰国
2015324.4308.5–333.7290.6272.2–305
2016323.8310.5–334.9287.1269.8–306.2
2017325.6309.9–334.4290273.8–302.8
2018325.7310.7–335.4292.6275.1–308.7
2019326.4311.9–335.3291.2272.8–306.7
2020328313.4–337.7292.4272.2–307.8
2021328.8314–336.3294.2276.3–308.5
2022329315.3–339294.8277.2–311.9
2023330.1316–340.5296.1281.9–310.2
2024332319.6–340.7291.7275.5–307.8
2025330.3317.7–342294276.7–306.3
2026330.2315.1–342.9296278–309.3
2027331315.2–342.4295.8276.3–311.1
2028332.4319–341.9297279.3–315.1
2029334.4322.5–344.9300.3278.7–315
2030333.4319.2–342.6297.7280.2–312.5
2031333.8317.1–342.5300.8282.8–317.1
2032336.5323.3–345.9297.2280.9–311.4
2033336.4322.5–343.3300281.9–315.8
2034334.8322.7–344.3300.8279–318.4
2035334.7323.3–347.9298.6281.5–317.8
2036336.9320.7–346.2300.4279.9–316.9
2037338.3325.4–345.3299.8280–315.1
2038339.7326.9–347.4304.8286.6–319.3
2039340326–347.4300.9281.9–317
2040338.6325.1–349301.6284.5–315.7
2041340.3326.3–348.1303.1285.1–318.8
2042339.9326.9–349.6303.8290–318.3
2043338.3324.3–348.3302285.8–317.9
2044340.6326.3–350.4304.3286.3–318.8
2045340.9327.4–349.8307.1287.7–324.2
2046343.3327.6–351.4305.9285.2–321
2047343325.3–352.9306.6289.5–321.5
2048342.6329–352.5309.4288.9–325.7
2049343.8331.1–354.1308.1287.2–324.1
2050342.7328.1–353.5307.5291–321.5
2051344.5330.7–354.3312.8294.8–326
2052345.1330.3–355310.9291.2–323.4
2053344.2331–353.5308.3289.5–323.3
2054345330.1–354.6308.8292.8–322.3
2055346.1332–354.3308.6290.6–325.1
2056346.5332.2–356.6311.3294.9–326.3
2057347.9332.3–355.4308.5286.7–326.4
2058347333.5–355.6308291.1–325.1
2059346.9333.4–356.2312.7295.8–325.3
2060349.7334.9–357.3313.1294.6–328.6
2061348.4334.1–356.1314.4289.5–331.1
2062348.4331.8–357.7311.4293.4–330.3
2063348.7333.2–357.7314.8296.9–327.3
2064349.1333.8–357.5312.5295.4–330
2065348.6334.6–356.8309.6293.1–329.3
2066349.3335–357.5312.1292.6–328
2067349.1334–356.6311.2289.6–329.4
2068350334.6–358.7310.8292.4–330.6
2069349.5334.2–357.9315.5296.1–329.5
2070349.2336.2–357.7314.2292.9–330.7
2071350.9336.1–358.6313.8296.4–330.8
2072351337.2–357.9314.8296–329.6
2073351.1338.7–359.9316.5299.9–332.1
2074350337.8–359.4317.2295–333.8
2075350.5335.4–358.1317.2295.3–331.4
2076351.6337.5–359.7317.4299.8–335
2077352.4336.4–359.9317.5297.3–335.9
2078351.3338.9–358.8315.9297.1–331.6
2079351.8337.9–359.7318.5300.5–332.3
2080352.4338.8–360.7319.8297.4–337.5
2081352.2337.3–359.7317.7299.5–334.9
2082352.7336.9–358.9317.9294.8–333
2083352.5339.6–360.4315297.8–332.9
2084353.5337.9–360.4316295.5–330
2085352.9340.2–360.2322.6300.8–334.7
2086352.8339.9–360319.4295.2–335.2
2087352.8338.4–361320.2302.2–334.7
2088354340–360.9321.4299.8–334.8
2089353.7339.7–359.9318.9296.4–338.1
2090353.3340.3–360.6317.6304–337.4
2091354.7338.9–361320.1299.8–336.1
2092355.3340.4–361.7316.3298–336.4
2093353.5339.3–362316.1297.7–333.7
2094355.4341.2–360.4323.4301.8–337.3
2095355339.4–360.6322.9302.4–338.9
2096353.6339.6–363.1319.6302.8–336.7
2097354.3339.5–360.6319.8299.1–336
2098354.8340.2–360.7320.5303.9–336
2099353.7340–361.8319.9303.1–334.4
2100354.8340.4–360.8320.8301.1–336.7

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须知

  • 一年中气温始终高于 20 °C 的夜晚数，取全国平均。
  • 来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

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